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zsxkib /infinite-you:629a8500
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
Field | Type | Default value | Description |
---|---|---|---|
id_image |
string
|
Upload a portrait image containing a human face. For multiple faces, only the largest face will be detected.
|
|
prompt |
string
|
Portrait, 4K, high quality, cinematic
|
Describe how you want the generated image to look. Be specific about details, style, background, etc.
|
control_image |
string
|
Optional: Upload a second image to control the pose/position of the face in the output
|
|
model_version |
string
(enum)
|
aes_stage2
Options: sim_stage1, aes_stage2 |
Choose the model version - 'aes_stage2' for better text-image alignment and aesthetics, 'sim_stage1' for higher identity similarity
|
width |
integer
|
864
Min: 256 Max: 1280 |
Output image width in pixels (recommended: 768, 864, or 960)
|
height |
integer
|
1152
Min: 256 Max: 1280 |
Output image height in pixels (recommended: 960, 1152, or 1280)
|
num_steps |
integer
|
30
Min: 1 Max: 100 |
Number of diffusion steps - higher values (30-50) give better quality but take longer
|
guidance_scale |
number
|
3.5
Max: 10 |
How closely to follow the prompt (higher = more prompt adherence, lower = more freedom)
|
seed |
integer
|
Random seed for reproducible results (None generates a random seed)
|
|
enable_realism |
boolean
|
False
|
Apply the realism enhancement LoRA for more realistic-looking results
|
enable_anti_blur |
boolean
|
False
|
Apply the anti-blur LoRA to reduce blurriness in the results
|
infusenet_conditioning_scale |
number
|
1
Max: 1 |
Advanced: Controls how strongly the identity image affects generation (lower values = less identity preservation)
|
infusenet_guidance_start |
number
|
0
Max: 1 |
Advanced: When to start applying identity guidance (0.0-0.1 recommended)
|
infusenet_guidance_end |
number
|
1
Max: 1 |
Advanced: When to stop applying identity guidance (usually keep at 1.0)
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}